Independent research for students continuing graduate study beyond the level of the MS degree.Offered for variable credit, 1-12 credit hours, maximum of 36 credit hours.Prerequisite(s): Consent of major professor.

A student studying for the master's degree will enroll in this course for a maximum of six credit hours.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.

Circuit analysis techniques including equivalent networks and mesh/node formulation of network equations; operational amplifiers; RL, RC and RLC transient and steady-state circuit analysis; energy and power; electrical measurements and instrumentation.Prerequisite(s): MATH 2153 with a 'C' or better and (PHYS 2114 and MATH 2233 and ENSC 2611 with a 'C' or better or concurrent enrollment).

Circuit analysis techniques including equivalent networks and mesh/node formulation of network equations; operational amplifiers; RL, RC and RLC transient and steady-state circuit analysis; energy and power; electrical measurements and instrumentation.Prerequisite(s): MATH 2153 with a 'C' or better and (PHYS 2114 and MATH 2233 and ENSC 2611 with a 'C' or better or concurrent enrollment).

Circuit analysis techniques including equivalent networks and mesh/node formulation of network equations; operational amplifiers; RL, RC and RLC transient and steady-state circuit analysis; energy and power; electrical measurements and instrumentation.Prerequisite(s): MATH 2153 with a 'C' or better and (PHYS 2114 and MATH 2233 and ENSC 2611 with a 'C' or better or concurrent enrollment).

Deterministic signals. Fourier series and Fourier transforms. Impulse response, convolution and correlation. Sampling theorem. Analog modulation techniques.Prerequisite(s): ECEN 3714 with a 'C' or better.

A student studying for the master's degree will enroll in this course for a maximum of six credit hours.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.

Laboratory associated with ECEN 2714 taken mostly by transfer students who have completed a similar course as ECEN 2714 without the accompanying laboratory. Previously offered as ECEN 3013.Prerequisite(s): PHYS 2114 with a 'C' or better or concurrent enrollment advisor permission required.

Circuit analysis techniques including equivalent networks and mesh/node formulation of network equations; operational amplifiers; RL, RC and RLC transient and steady-state circuit analysis; energy and power; electrical measurements and instrumentation.Prerequisite(s): MATH 2153 with a 'C' or better and (PHYS 2114 and MATH 2233 and ENSC 2611 with a 'C' or better or concurrent enrollment).

Circuit analysis techniques including equivalent networks and mesh/node formulation of network equations; operational amplifiers; RL, RC and RLC transient and steady-state circuit analysis; energy and power; electrical measurements and instrumentation.Prerequisite(s): MATH 2153 with a 'C' or better and (PHYS 2114 and MATH 2233 and ENSC 2611 with a 'C' or better or concurrent enrollment).

Circuit analysis techniques including equivalent networks and mesh/node formulation of network equations; operational amplifiers; RL, RC and RLC transient and steady-state circuit analysis; energy and power; electrical measurements and instrumentation.Prerequisite(s): MATH 2153 with a 'C' or better and (PHYS 2114 and MATH 2233 and ENSC 2611 with a 'C' or better or concurrent enrollment).

A student studying for the master's degree will enroll in this course for a maximum of six credit hours.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.

Noise in modulation systems. Digital data transmission. Design of optimal receivers. Introduction to information theory.Prerequisite(s): ECEN 4503.

Fundamental topics that are typically introduced in the senior year curriculum with additional depth and breadth commensurate with the graduate program. Repeat credit may be earned with difference course subtitles assigned.Offered for variable credit, 1-6 credit hours, maximum of 9 credit hours.Prerequisite(s): Advisor permission.

Noise as a random process, analog and digital signal detection in the presence of noise, optimum receiver design using signal space concepts and introduction to information theory. Trade-offs between bandwidth, signal-to-noise ratio and the rate of information transfer. Example system designs include earth satellite, deep space and terrestrial communication systems and computer communication networks.Prerequisite(s): ECEN 5513 or Departmental Permission.

Noise in modulation systems. Digital data transmission. Design of optimal receivers. Introduction to information theory.Prerequisite(s): ECEN 4503.

Fundamental topics that are typically introduced in the senior year curriculum with additional depth and breadth commensurate with the graduate program. Repeat credit may be earned with difference course subtitles assigned.Offered for variable credit, 1-6 credit hours, maximum of 9 credit hours.Prerequisite(s): Advisor permission.

Wireless channel characterization: large-scale and small scale fading. Techniques to combat fading; diversity techniques, coding techniques, CDMA, OFDM, MIMO. Advanced communication systems such as 5G and Beyond cellular systems, mmWave and Teraherz communications, massive MIMO, and UAV-assisted communications.Prerequisite(s): ECEN 4503 or STAT 4033.

Wireless channel characterization: large-scale and small scale fading. Techniques to combat fading; diversity techniques, coding techniques, CDMA, OFDM, MIMO. Advanced communication systems such as 5G and Beyond cellular systems, mmWave and Teraherz communications, massive MIMO, and UAV-assisted communications.Prerequisite(s): ECEN 4503 or STAT 4033.